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Telegram profile photo for آموزش رایگان زبان چینی

Channel

آموزش رایگان زبان چینی

@china_media

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

58subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001391375797
TypeChannel
Username@china_media
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live22 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/china_media

Growth

555856.57 August 2026 — 55 subscribers10 August 2026 — 55 subscribers15 August 2026 — 57 subscribers22 August 2026 — 58 subscribers7 August 202622 August 2026
4 measurements spanning 15 days, net +3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 55–58 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 15:4558+1
15 Aug 2026, 17:3357+2
10 Aug 2026, 08:1655no change
7 Aug 2026, 06:4555first reading

Engagement

15 posts held, back to 1 February 2023the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 25 November 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 40s
Average length
27s

Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

2 reactions across 1 post, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎅150.0%
👾150.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 2 of the 15 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 1 February 2023 to 25 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

25 Nov 2025, 14:22 UTC64 views2 reactionsread 10 August 2026
Forwarded from @chinamediaFile

🔔 کانال تلگرامی چاینا مدیا اقیانوسی از منابع آموزشی یادگیری زبان چینی است؛ جایی که می‌توانید بهترین کتاب‌ها، فایل‌ها و تمرین‌های کاربردی را پیدا کنید 💡 حمایت شما = فعالیت بیشتر ما ♻️ 📌 همچنین با سرچ هشتگ #کتاب می‌توانید منابع بیشتری را در کانال پیدا کنید 📖✨ 🆔 @CHINAMEDIA

🎅1👾1

25 Nov 2025, 14:22 UTC61 viewsread 10 August 2026
Forwarded from @chinamediaPhoto

🎤 تقویت مهارت اسپیکینگ زبان چینی با مجموعه 新目标汉语口语 🇨🇳 📚 این مجموعه تخصصی برای آموزش و تمرین مکالمه طراحی شده است: - تمرکز ویژه بر Speaking 🗣️ #口语 - دیالوگ‌ها و تمرین‌های واقعی برای موقعیت‌های روزمره ✨ - مناسب برای زبان‌آموزان، دانشجویان و علاقه‌مندان به ارتباط مستقیم با فرهنگ چین 🌏 - گام‌به‌گام از سطح پایه تا پیشرفته 🚀 🆔 @CHINAMEDIA

1 Feb 2023, 15:53 UTC536 viewsread 10 August 2026
Video

#کشفیات_ادمین اینم یه #جمع_بندی از ✴️偏旁部首 / Radicals 💠پین پانگ های اصلی #PART_2 به سبک کشفیات ادمین😍👌 حالشو ببر😊😉 ❇️🌫🌫🌫🌫🌫🌫❇️ ✳️@CHINAMEDIA✳️ ❇️🌫🌫🌫🌫🌫🌫❇️

1 Feb 2023, 15:53 UTC477 viewsread 10 August 2026
Video

#کشفیات_ادمین اینم یه #جمع_بندی از ✴️偏旁部首 / Radicals 💠پین پانگ های اصلی #PART_1 به سبک کشفیات ادمین😍👌 حالشو ببر😊😉 ❇️🌫🌫🌫🌫🌫🌫❇️ ✳️@CHINAMEDIA✳️ ❇️🌫🌫🌫🌫🌫🌫❇️

1 Feb 2023, 15:52 UTC479 views0 reactionsread 10 August 2026
File

#کتاب #جزوه 🔹جزوه فوق‌العاده عالی 214 رادیکال زبان چینی ویژه استارت نوشتار زبان چینی 🔸chinese radicals 💠نسخه پی دی اف رنگی و با قابلیت سرچ در پی دی اف ❇️ لطفاً تا می‌توانید این پیام را نشر بدهید تا دوستان خودتون هم از یک جزوه نوشتار بی‌نظیر بهره مند بشوند ♻️حمایت شما = فعالیت بیشتر ما♻️ ××××××××××××× @CHINAMEDIA ×××××××××××××

1 Feb 2023, 15:43 UTC415 viewsread 10 August 2026
File

#کتاب #جزوه #جمع_بندی #لیست_لغات 🔹جزوه جامع تمام واحد شمارش ها زبان چینی😍🥰 🔸Yoyo Chinese E-book Measure Words 💠نسخه پی دی اف رنگی ❇️ لطفاً تا می‌توانید این پیام را نشر بدهید تا دوستان خودتون هم از یک جزوه جمع و جور بهره مند بشوند ♻️حمایت شما = فعالیت بیشتر ما♻️ #قسمت8 ××××××××××××× @CHINAMEDIA ×××××××××××××

1 Feb 2023, 15:41 UTC377 viewsread 10 August 2026
File

#برگه_خنزه_نویسی PRC-Character-Writing-Sheet.pdf برگه تمرین خنزه نویسی کیفیت بالا همراه با 名字 و 成绩 مخصوص امتحان @CHINAMEDIA

Showing the 12 most recent of 15 posts we hold for @china_media. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.

“آموزش رایگان زبان چینی” (@china_media), 58 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/china_media.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.